Overview
- Skill Key
- guohongbin-git/mlops-initialization-cn
- Author
- guohongbin-git
- Source Repo
- openclaw/skills
- Version
- 1.0.0
- Source Path
- skills/guohongbin-git/mlops-initialization-cn
- Latest Commit SHA
- 3224aaf689c1354c4de8ccd6aa1bb6280a347c96
Official OpenClaw
rules
72%
mlops-initialization-cn
MLOps project initialization with uv/git/VS Code best practices
Stars
0
Installs
0
Status
ACTIVE
Visibility
PUBLIC
安装方式
直接复制以下提示词，发送给你的 AI 助手即可完成安装。
请先检查是否已安装 SkillHub 商店，若未安装，请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店，然后安装 mlops-initialization-cn 技能。 若已安装，则直接安装 mlops-initialization-cn 技能。
Extracted Content
SKILL.md excerpt
# MLOps 项目初始化 🚀 Setup new MLOps projects with modern Python toolchain. ## Features ### 1. Project Initialization 📦 Create complete project structure: ```bash ./scripts/init-project.sh my-mlops-project ``` Creates: - `src/` layout - `pyproject.toml` with uv - `.gitignore` (Python/MLOps) - `.vscode/settings.json` - Git repository ### 2. Configuration Templates 📋 Copy reference configs: ```bash # pyproject.toml template cp references/pyproject.toml ../your-project/ # VS Code settings cp references/vscode-settings.json ../your-project/.vscode/ ``` ## Quick Start ```bash # Initialize new project ./scripts/init-project.sh my-project cd my-project # Add dependencies uv add pandas numpy scikit-learn # Sync environment uv sync # Verify uv run python -c "import sys; print(sys.executable)" ``` ## What You Get - ✅ `src/` package layout - ✅ Locked dependencies (`uv.lock`) - ✅ Ruff + MyPy configured - ✅ VS Code settings - ✅ Git repository ## References - `references/pyproject.toml` - Full config example - `references/vscode-settings.json` - IDE settings ## Author Converted from [MLOps Coding Course](https://github.com/MLOps-Courses/mlops-coding-skills) ## Changelog ### v1.0.0 (2026-02-18) - Initial OpenClaw conversion - Added init script - Added reference configs
README excerpt
# MLOps 项目初始化 Modern Python project setup using `uv` package manager. ## Features - 📦 **Project Initialization** - Create complete project structure - 📋 **Configuration Templates** - pyproject.toml, VS Code settings - 🔧 **Git Setup** - .gitignore, initial commit - ✅ **Validation** - Ensure environment correctness ## Quick Start ```bash # Initialize new project ./scripts/init-project.sh my-mlops-project # Add dependencies uv add pandas numpy scikit-learn # Sync environment uv sync ``` ## Author Converted from [MLOps Coding Course](https://github.com/MLOps-Courses/mlops-coding-skills) ## License MIT
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